Tag Archives: AIRegulation

Ready for EU AI Act? Your framework probably isn’t. Here’s why.

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I’ll be honest—I’ve watched too many smart teams stumble here. They bolt GenAI onto legacy model risk frameworks and wonder why auditors keep finding gaps. Here’s what I’m seeing work with CDOs navigating the EU AI Act:

You need segmentation, not standardization. Traditional ML, GenAI, and agents carry fundamentally different risks. Treating them the same is like using the same playbook for three different sports.

Start with an AI Management System — ISO/IEC 42001 for structure, 42005 for impact assessments, 42006 for auditability. Map it to NIST’s GenAI Profile + COSAIS overlays. This isn’t box-checking; it’s how you govern at scale without chaos.

Then segment your controls: ML needs drift monitoring and data quality checks. GenAI needs prompt-injection defenses and hallucination tracking. Agents? Autonomy caps, tool allow-lists, human-in-the-loop gates, sandboxed execution, full action logs. Use OWASP’s LLM Top 10 — your security team already speaks that language.

On EU AI Act compliance: GPAI obligations are phasing in now. Inventory your systems, classify them (general-purpose, high-risk, other), run fundamental rights impact assessments for high-risk deployers, then choose your conformity path. Don’t wait.

Make it operational. Name control owners. Set SLAs. Track what matters—prompt-injection incidents, drift rates, task success, hallucination coverage, adoption rates, cycle-time savings. Require evidence (model cards, eval runs, logs) before promotion. Gate agent autonomy upgrades.

And frankly, treat anonymization as something you prove, combining technical (DP, SDC, k-anon) with organizational and process controls. Keep DPIA’s records updated per EDPB/ICO guidance.

If you’re piloting agents: cap autonomy first, scale second.

The teams moving fastest with focus aren’t skipping controls—they built the right ones from day one.

Which KPI tells you the most about your AI program’s health—risk metrics, performance indicators, or value creation? I’m especially curious what agent pilots are tracking beyond the basics.

The EU AI Act: An Overview

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Set to take effect in stages starting summer 2024, the AI Act is poised to become the world’s first comprehensive AI law. It aims to govern the use and impact of AI technologies across the EU, affecting a broad range of stakeholders including AI providers, deployers, importers, and distributors.
🔹𝐊𝐞𝐲 𝐏𝐫𝐨𝐯𝐢𝐬𝐢𝐨𝐧𝐬 & 𝐈𝐦𝐩𝐚𝐜𝐭: The Act categorizes AI systems into prohibited, high-risk, and general-purpose models, each with specific compliance requirements. Notably, high-risk AI systems face stringent obligations, impacting sectors from employment to public services. The Act also introduces bans on certain AI practices deemed harmful, like emotion recognition in workplaces or untargeted image scraping for facial recognition.
🔹𝐂𝐨𝐦𝐩𝐥𝐢𝐚𝐧𝐜𝐞 & 𝐏𝐞𝐧𝐚𝐥𝐭𝐢𝐞𝐬: Compliance will vary by the nature of AI usage with penalties for non-compliance reaching up to €35 million or 7% of annual worldwide turnover. The AI Act also incorporates and aligns with existing EU regulations like GDPR, requiring businesses to assess both new and existing legal frameworks.
🔹𝐓𝐢𝐦𝐞𝐥𝐢𝐧𝐞 𝐟𝐨𝐫 𝐈𝐦𝐩𝐥𝐞𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧: The AI Act will phase in its provisions, with most obligations impacting businesses after a two-year period post-law enactment.
🔹𝐒𝐭𝐫𝐚𝐭𝐞𝐠𝐢𝐜 𝐂𝐨𝐧𝐬𝐢𝐝𝐞𝐫𝐚𝐭𝐢𝐨𝐧𝐬: Entities involved in AI need to develop robust governance frameworks early to align with the Act’s requirements. As AI technologies and legal standards evolve, staying informed and adaptable is crucial.
🔹𝐆𝐥𝐨𝐛𝐚𝐥 𝐏𝐞𝐫𝐬𝐩𝐞𝐜𝐭𝐢𝐯𝐞: Unlike the EU’s comprehensive approach, the UK is currently opting for a non-binding, principles-based framework for AI regulation. This divergence highlights varying international stances on AI governance.
For businesses and professionals involved in AI, the incoming AI Act represents both a challenge and an opportunity to lead in responsible AI deployment and innovation.

More on: https://bit.ly/4bN8gM0

𝐹𝑜𝑙𝑙𝑜𝑤 𝑚𝑒 𝑜𝑛 𝑋: @𝑀𝑖𝑔𝑢𝑒𝑙𝐶ℎ𝑎𝑚𝑜𝑐ℎ𝑖𝑛

EU Sets Global Precedent with Comprehensive AI Act

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The European Union has just reached a landmark agreement on a comprehensive AI law, poised to set a global precedent. This new regulation, known as the AI Act, is one of the first of its kind and aims to manage the rapidly evolving AI technology with a risk-based approach.

Key highlights of the AI Act include:

  • Risk-Based Regulation: The AI Act will categorize AI systems based on their level of risk, with the most stringent regulations applied to high-risk models. This includes popular large AI models like ChatGPT.
  • Enforcement Across EU: All 27 member states will be involved in enforcing the law, with certain aspects taking up to 24 months to become effective.
  • Global Impact: The legislation is expected to influence AI development worldwide, serving as a model for other countries.
  • Comprehensive Prohibitions: The AI Act will ban AI use for social scoring, manipulating human behavior, and exploiting vulnerable groups. Strict restrictions are also placed on facial recognition technology and AI systems in the workplace and educational institutions.
  • Significant Fines for Non-Compliance: Companies that fail to comply with these new rules could face fines of up to €35 million or 7% of global revenue.
  • Two-Tier Approach for AI Models: The Act establishes transparency requirements for general-purpose AI models and stronger requirements for those with systemic impacts.
  • Encouragement for Innovation: Despite strict regulations, the Act aims to avoid excessive burdens on companies, promoting a balance between safeguarding AI technology use and encouraging innovation.
  • Future Perspectives: Looking ahead, this legislation is a crucial step in shaping the global AI regulatory landscape, with implications for AI legislation and automated decision-making rules in other jurisdictions, including Canada, the United States, and beyond.

The EU AI Act is much more than just a set of rules; it’s a catalyst for EU startups and researchers to lead in the global AI race. With this act, the EU becomes the first continent to establish clear rules for AI use, potentially guiding future global standards in AI regulation.

More on: https://bit.ly/486f0n3